The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-09-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "28902753 (up from 28759036 yesterday: 0.5 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "922737 (up from 920231 yesterday: 0.27 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5482335

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.19



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 6519573 34359 0.53 817894 194071 378 0.20 2.98
India 4754356 0 0.00 1648008 78586 0 0.00 1.65
Brazil 4330455 14768 0.34 724672 131625 415 0.32 3.04
Russia 1059024 5361 0.51 104696 18517 91 0.49 1.75
Peru 722832 6162 0.86 137596 30526 56 0.18 4.22
Colombia 716319 7355 1.04 175180 22924 190 0.84 3.20
Mexico 668381 4408 0.66 108217 70821 217 0.31 10.60
South Africa 649793 1579 0.24 40020 15447 20 0.13 2.38
Spain 566326 0 0.00 180272 29747 0 0.00 5.25
Argentina 555537 9056 1.66 213383 11352 89 0.79 2.04
Chile 434748 2082 0.48 37083 11949 54 0.45 2.75
France 402893 82 0.02 122434 30903 1 0.00 7.67
Iran 402029 2089 0.52 43124 23157 128 0.56 5.76
United Kingdom 370930 3338 0.91 43287 41717 5 0.01 11.25
Bangladesh 337520 1476 0.44 42922 4733 31 0.66 1.40
Saudi Arabia 325651 601 0.18 18172 4268 28 0.66 1.31
Pakistan 302020 539 0.18 8759 6383 4 0.06 2.11
Turkey 291162 1527 0.53 32913 7056 57 0.81 2.42
Iraq 290309 3531 1.23 85968 8014 73 0.92 2.76
Italy 287753 1456 0.51 28408 35610 7 0.02 12.38
Germany 261737 920 0.35 27243 9354 2 0.02 3.57
Philippines 261216 3353 1.30 71615 4371 79 1.84 1.67
Indonesia 218382 3636 1.69 64847 8723 73 0.84 3.99
Ukraine 158122 2564 1.65 50743 3239 33 1.03 2.05
Israel 155604 2882 1.89 52941 1119 16 1.45 0.72
Canada 138640 476 0.34 11823 9220 0 0.00 6.65
Bolivia 126791 809 0.64 17642 7344 47 0.64 5.79
Qatar 121740 217 0.18 4732 205 0 0.00 0.17
Ecuador 118594 2143 1.84 10825 10903 39 0.36 9.19
Kazakhstan 106855 52 0.05 2137 1634 0 0.00 1.53
Dominican Republic 103660 568 0.55 12499 1968 15 0.77 1.90
Romania 103495 1109 1.08 24990 4163 36 0.87 4.02
Panama 101745 704 0.70 14845 2166 11 0.51 2.13
Egypt 101009 153 0.15 3669 5648 21 0.37 5.59
Kuwait 94764 553 0.59 14236 560 2 0.36 0.59
Belgium 93455 977 1.06 11519 9925 2 0.02 10.62
China 90197 29 0.03 502 4734 0 0.00 5.25
Oman 89746 1409 1.60 5977 780 18 2.36 0.87
Morocco 86686 2251 2.67 34337 1578 25 1.61 1.82
Sweden 86505 0 0.00 437 5846 0 0.00 6.76
Netherlands 85876 1167 1.38 17306 6292 1 0.02 7.33
Guatemala 81909 251 0.31 13721 2957 8 0.27 3.61
United Arab Emirates 79489 640 0.81 12482 399 0 0.00 0.50
Japan 75646 440 0.59 12988 1448 7 0.49 1.91
Belarus 74173 198 0.27 3705 750 6 0.81 1.01
Poland 74152 502 0.68 12390 2188 6 0.27 2.95
Honduras 67789 653 0.97 13278 2079 14 0.68 3.07
Ethiopia 64301 413 0.65 23630 1013 17 1.71 1.58
Portugal 63983 673 1.06 8386 1867 7 0.38 2.92
Venezuela 60540 910 1.53 20976 485 8 1.68 0.80
Bahrain 60307 721 1.21 10977 212 1 0.47 0.35
Singapore 57406 49 0.09 1053 27 0 0.00 0.05
Nigeria 56256 79 0.14 4029 1082 4 0.37 1.92
Costa Rica 55454 0 0.00 21634 590 0 0.00 1.06
Nepal 54159 1039 1.96 22224 345 9 2.68 0.64
Algeria 48254 247 0.51 6794 1612 7 0.44 3.34
Uzbekistan 47287 566 1.21 8341 390 6 1.56 0.82
Switzerland 47179 475 1.02 7276 2021 1 0.05 4.28
Armenia 45862 187 0.41 3070 916 5 0.55 2.00
Ghana 45434 0 0.00 1929 286 0 0.00 0.63
Kyrgyzstan 44881 53 0.12 1858 1063 0 0.00 2.37
Moldova 42978 264 0.62 9500 1123 6 0.54 2.61
Afghanistan 38716 75 0.19 717 1420 0 0.00 3.67
Azerbaijan 38327 155 0.41 3053 562 3 0.54 1.47
Czechia 36188 787 2.22 14265 456 3 0.66 1.26
Kenya 36157 188 0.52 3793 622 3 0.48 1.72
Austria 33159 463 1.42 7906 756 2 0.27 2.28
Serbia 32408 108 0.33 1751 733 2 0.27 2.26
Ireland 30985 255 0.83 3016 1784 1 0.06 5.76
West Bank and Gaza 30574 668 2.23 11772 221 11 5.24 0.72
Paraguay 27817 493 1.80 14584 525 11 2.14 1.89
El Salvador 26928 77 0.29 2306 785 3 0.38 2.92
Australia 26692 41 0.15 1777 816 6 0.74 3.06
Lebanon 24310 641 2.71 11612 241 2 0.84 0.99
Bosnia and Herzegovina 23465 327 1.41 5750 696 6 0.87 2.97
Libya 22781 433 1.94 12344 362 8 2.26 1.59
Korea, South 22285 109 0.49 4620 363 5 1.40 1.63
Denmark 20327 338 1.69 3612 631 1 0.16 3.10
Cameroon 20167 158 0.79 1405 415 0 0.00 2.06
Cote d’Ivoire 19013 97 0.51 1542 120 1 0.84 0.63
Bulgaria 17918 27 0.15 2631 720 3 0.42 4.02
North Macedonia 15791 97 0.62 2196 648 2 0.31 4.10
Madagascar 15757 20 0.13 1430 211 1 0.48 1.34
Senegal 14280 43 0.30 1331 297 2 0.68 2.08
Zambia 13539 73 0.54 2457 312 0 0.00 2.30
Croatia 13533 165 1.23 5358 224 6 2.75 1.66
Sudan 13516 46 0.34 680 835 1 0.12 6.18
Greece 13240 204 1.56 4576 305 3 0.99 2.30
Kosovo 12683 0 0.00 235 488 0 0.00 3.85
Hungary 12309 484 4.09 7154 637 4 0.63 5.18
Norway 12154 75 0.62 1831 265 0 0.00 2.18
Albania 11353 168 1.50 2926 334 4 1.21 2.94
Congo (Kinshasa) 10390 5 0.05 560 264 2 0.76 2.54
Guinea 10045 25 0.25 1078 63 0 0.00 0.63

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 761728 2795 0.37 92448 14378 51 0.36 1.89 19278.29 363.89 1 in 52
Texas 681885 4169 0.62 87712 14405 73 0.51 2.11 23516.62 496.79 1 in 43
Florida 663994 2423 0.37 63423 12608 8 0.06 1.90 30915.45 587.03 1 in 32
New York 444365 725 0.16 14628 33023 0 0.00 7.43 22842.35 1697.53 1 in 44
Georgia 294314 1409 0.48 40365 6333 46 0.73 2.15 27719.91 596.47 1 in 36
Illinois 263459 1460 0.56 41865 8541 14 0.16 3.24 20790.93 674.02 1 in 48
Arizona 208512 384 0.18 10409 5322 7 0.13 2.55 27382.13 698.89 1 in 37
New Jersey 196634 297 0.15 7140 16031 4 0.02 8.15 22138.01 1804.85 1 in 45
North Carolina 184936 1198 0.65 29823 3052 5 0.16 1.65 17632.96 291.00 1 in 57
Tennessee 171824 933 0.55 27887 2078 14 0.68 1.21 25145.56 304.10 1 in 40
Louisiana 157455 1281 0.82 14512 5235 33 0.63 3.32 33870.07 1126.10 1 in 30
Pennsylvania 148635 0 0.00 14956 7829 0 0.00 5.27 11610.31 611.55 1 in 86
Alabama 138755 1109 0.81 23695 2351 1 0.04 1.69 28298.95 479.48 1 in 35
Ohio 137405 837 0.61 22603 4415 4 0.09 3.21 11754.97 377.70 1 in 85
Virginia 133742 874 0.66 20782 2724 2 0.07 2.04 15668.88 319.14 1 in 64
South Carolina 131864 1886 1.45 19876 3064 24 0.79 2.32 25611.06 595.10 1 in 39
Massachusetts 124826 286 0.23 -534 9210 14 0.15 7.38 17961.86 1325.27 1 in 56
Michigan 123058 0 0.00 16250 6911 0 0.00 5.62 12321.99 692.01 1 in 81
Maryland 116110 577 0.50 12008 3838 2 0.05 3.31 19205.45 634.83 1 in 52
Indiana 105804 1243 1.19 19872 3438 1 0.03 3.25 15716.07 510.68 1 in 64
Missouri 103997 1707 1.67 28214 1731 3 0.17 1.66 16944.72 282.04 1 in 59
Mississippi 89874 254 0.28 11980 2697 12 0.45 3.00 30198.08 906.20 1 in 33
Wisconsin 89185 1582 1.81 18723 1210 1 0.08 1.36 15317.48 207.82 1 in 65
Minnesota 84311 723 0.86 14727 1971 13 0.66 2.34 14949.73 349.49 1 in 67
Washington 79826 350 0.44 8814 1991 0 0.00 2.49 10482.88 261.46 1 in 95
Iowa 74676 471 0.63 18230 1220 2 0.16 1.63 23668.57 386.68 1 in 42
Nevada 73537 317 0.43 7936 1452 3 0.21 1.97 23874.44 471.40 1 in 42
Arkansas 70219 509 0.73 13645 981 12 1.24 1.40 23268.08 325.07 1 in 43
Oklahoma 69354 695 1.01 16189 905 6 0.67 1.30 17527.04 228.71 1 in 57
Colorado 61293 417 0.68 6170 1988 0 0.00 3.24 10643.48 345.21 1 in 94
Utah 57875 628 1.10 8760 433 0 0.00 0.75 18052.33 135.06 1 in 55
Kentucky 56945 530 0.94 13879 1060 3 0.28 1.86 12746.01 237.26 1 in 78
Connecticut 54326 0 0.00 2807 4480 0 0.00 8.25 15237.48 1256.56 1 in 66
Kansas 48766 108 0.22 11108 528 2 0.38 1.08 16739.01 181.24 1 in 60
Nebraska 38188 68 0.18 6299 434 -3 -0.69 1.14 19741.44 224.36 1 in 51
Puerto Rico 37380 288 0.78 7484 539 4 0.75 1.44 11704.31 168.77 1 in 85
Idaho 35279 112 0.32 5434 415 0 0.00 1.18 19686.23 231.58 1 in 51
Oregon 29337 181 0.62 4400 509 4 0.79 1.74 6955.63 120.68 1 in 144
New Mexico 26761 100 0.38 2365 823 2 0.24 3.08 12762.60 392.50 1 in 78
Rhode Island 22905 0 0.00 1883 1071 0 0.00 4.68 21621.52 1010.99 1 in 46
Delaware 18849 123 0.66 1954 615 2 0.33 3.26 19356.85 631.57 1 in 52
South Dakota 16638 201 1.22 5362 184 1 0.55 1.11 18807.25 207.99 1 in 53
North Dakota 15577 426 2.81 5701 168 1 0.60 1.08 20440.59 220.45 1 in 49
District of Columbia 14592 99 0.68 1058 616 0 0.00 4.22 20675.91 872.83 1 in 48
West Virginia 12705 177 1.41 3432 267 1 0.38 2.10 7109.10 149.40 1 in 141
Hawaii 10700 112 1.06 4100 99 2 2.06 0.93 7557.18 69.92 1 in 132
Montana 9021 96 1.08 2592 135 2 1.50 1.50 8440.48 126.31 1 in 118
New Hampshire 7696 44 0.58 589 436 1 0.23 5.67 5660.03 320.66 1 in 177
Alaska 6268 61 0.98 1527 44 0 0.00 0.70 8568.17 60.15 1 in 117
Maine 4863 29 0.60 527 136 1 0.74 2.80 3617.73 101.17 1 in 276
Wyoming 4346 49 1.14 768 42 0 0.00 0.97 7509.17 72.57 1 in 133
Vermont 1684 7 0.42 127 58 0 0.00 3.44 2698.77 92.95 1 in 371

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 12690016 761728 6.00 2148985 92448 4.30 321166.8
2 Texas 5550139 681885 12.29 882111 87712 9.94 191411.3
3 Florida 4923930 663994 13.49 495297 63423 12.81 229257.4
4 New York 9318293 444365 4.77 1697134 14628 0.86 479001.9
5 Georgia 2602202 294314 11.31 430318 40365 9.38 245087.9
6 Illinois 4737961 263459 5.56 1032508 41865 4.05 373897.4
7 Arizona 1296137 208512 16.09 145268 10409 7.17 170210.8
8 New Jersey 3168530 196634 6.21 519532 7140 1.37 356728.5
9 North Carolina 2616108 184936 7.07 537636 29823 5.55 249436.2
10 Tennessee 2456149 171824 7.00 410956 27887 6.79 359444.8
11 Louisiana 2066730 157455 7.62 302892 14512 4.79 444573.4
12 Pennsylvania 1807881 148635 8.22 254861 14956 5.87 141218.8
13 Alabama 1023187 138755 13.56 101518 23695 23.34 208678.0
14 Ohio 2593830 137405 5.30 609941 22603 3.71 221901.6
15 Virginia 1766238 133742 7.57 295351 20782 7.04 206928.0
16 South Carolina 1071863 131864 12.30 179527 19876 11.07 208180.7
17 Massachusetts 3006158 124826 4.15 1452485 -534 -0.04 432571.7
18 Michigan 3110610 123058 3.96 577138 16250 2.82 311470.4
19 Maryland 1455845 116110 7.98 222949 12008 5.39 240807.5
20 Indiana 1238984 105804 8.54 261182 19872 7.61 184038.0
21 Missouri 1128700 103997 9.21 213867 28214 13.19 183904.4
22 Mississippi 622793 89874 14.43 88545 11980 13.53 209261.4
23 Wisconsin 1365137 89185 6.53 174783 18723 10.71 234461.6
24 Minnesota 1233305 84311 6.84 172985 14727 8.51 218685.4
25 Washington 1644585 79826 4.85 623883 8814 1.41 215969.5
26 Iowa 683445 74676 10.93 101469 18230 17.97 216618.0
27 Nevada 642075 73537 11.45 67846 7936 11.70 208455.4
28 Arkansas 828221 70219 8.48 162521 13645 8.40 274443.0
29 Oklahoma 989530 69354 7.01 177030 16189 9.14 250072.6
30 Colorado 1111572 61293 5.51 181420 6170 3.40 193023.6
31 Utah 716873 57875 8.07 92037 8760 9.52 223606.5
32 Kentucky 930752 56945 6.12 181021 13879 7.67 208330.4
33 Connecticut 1330984 54326 4.08 308614 2807 0.91 373317.5
34 Kansas 448930 48766 10.86 82615 11108 13.45 154096.0
35 Nebraska 400684 38188 9.53 62323 6299 10.11 207135.2
37 Idaho 277123 35279 12.73 39843 5434 13.64 154638.9
38 Oregon 612620 29337 4.79 92800 4400 4.74 145248.5
39 New Mexico 817270 26761 3.27 112108 2365 2.11 389764.7
40 Rhode Island 615683 22905 3.72 160706 1883 1.17 581183.4
41 Delaware 261296 18849 7.21 39451 1954 4.95 268336.1
42 South Dakota 163956 16638 10.15 27196 5362 19.72 185332.4
43 North Dakota 523570 15577 2.98 332685 5701 1.71 687043.8
44 District of Columbia 330641 14592 4.41 64595 1058 1.64 468496.6
45 West Virginia 483764 12705 2.63 87571 3432 3.92 270690.7
46 Hawaii 255399 10700 4.19 79215 4100 5.18 180382.8
47 Montana 280124 9021 3.22 69375 2592 3.74 262097.5
48 New Hampshire 230542 7696 3.34 34478 589 1.71 169552.2
49 Alaska 401213 6268 1.56 73773 1527 2.07 548446.1
50 Maine 330168 4863 1.47 98467 527 0.54 245622.0
51 Wyoming 86437 4346 5.03 21545 768 3.56 149348.9
52 Vermont 150673 1684 1.12 30630 127 0.41 241467.4

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1077374 17066 1.61 755850 70.16 291256 29894 363 1.23 2.77
Andhra Pradesh 575079 7956 1.40 476903 82.93 93204 4972 60 1.22 0.86
Tamil Nadu 508511 5752 1.14 453165 89.12 46912 8434 53 0.63 1.66
Karnataka 467689 8244 1.79 361823 77.36 98463 7384 119 1.64 1.58
Uttar Pradesh 317195 5159 1.65 245417 77.37 67287 4491 62 1.40 1.42
Delhi 221533 3229 1.48 188072 84.90 28691 4770 26 0.55 2.15
West Bengal 205919 3211 1.58 178223 86.55 23693 4003 58 1.47 1.94
Bihar 159526 1137 0.72 145019 90.91 13675 831 9 1.09 0.52
Telangana 158513 1417 0.90 127007 80.12 30532 974 13 1.35 0.61
Odisha 155005 4198 2.78 122024 78.72 32291 690 11 1.62 0.45
Assam 144166 2403 1.70 115052 79.81 28629 482 13 2.77 0.33
Gujarat 114996 1334 1.17 95365 82.93 16403 3228 17 0.53 2.81
Kerala 110819 2540 2.35 79809 72.02 30489 455 15 3.41 0.41
Rajasthan 104138 1730 1.69 86162 82.74 16726 1250 14 1.13 1.20
Haryana 96129 2488 2.66 74712 77.72 20417 1000 25 2.56 1.04
Madhya Pradesh 90730 4764 5.54 67711 74.63 21228 1791 63 3.65 1.97
Punjab 82100 2421 3.04 58984 71.84 20693 2423 67 2.84 2.95
Chhattisgarh 67327 5564 9.01 33109 49.18 33645 573 34 6.31 0.85
Jharkhand 62737 1263 2.05 48112 76.69 14064 561 6 1.08 0.89
Jammu and Kashmir 55325 1229 2.27 36381 65.76 18049 895 17 1.94 1.62
Uttarakhand 33016 1043 3.26 22077 66.87 10374 429 15 3.62 1.30
Goa 24898 306 1.24 19648 78.91 4946 304 14 4.83 1.22
Puducherry 20226 393 1.98 15027 74.30 4805 394 9 2.34 1.95
Tripura 19184 255 1.35 11536 60.13 7426 200 6 3.09 1.04
Himachal Pradesh 9923 368 3.85 6167 62.15 3658 81 5 6.58 0.82
Chandigarh 8245 254 3.18 5300 64.28 2847 95 5 5.56 1.15
Manipur 7971 96 1.22 6340 79.54 1585 46 0 0.00 0.58
Arunachal Pradesh 6297 336 5.64 4531 71.95 1755 11 1 10.00 0.17
Nagaland 5214 131 2.58 3897 74.74 1289 8 0 0.00 0.15
Meghalaya 3863 139 3.73 2151 55.68 1684 28 2 7.69 0.72
Andaman and Nicobar Islands 3557 11 0.31 3278 92.16 227 52 1 1.96 1.46
Ladakh 3419 74 2.21 2475 72.39 903 41 1 2.50 1.20
Dadra and Nagar Haveli and Daman and Diu 2743 22 0.81 2479 90.38 233 2 0 0.00 0.07
Sikkim 2119 33 1.58 1521 71.78 582 16 0 0.00 0.76
Mizoram 1428 14 0.99 919 64.36 509 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1822993 103339 265 0.26 5.67 252 28 8789 16899 16.35
Piemonte 638051 33753 82 0.24 5.29 100 8 2097 4153 12.30
Emilia-Romagna 1025932 33504 143 0.43 3.27 156 17 3939 4469 13.34
Veneto 1711508 24809 142 0.58 1.45 95 14 2967 2142 8.63
Lazio 720433 13123 143 1.10 1.82 424 17 4755 885 6.74
Toscana 630201 13114 91 0.70 2.08 80 17 2459 1149 8.76
Liguria 266435 11852 78 0.66 4.45 115 11 1143 1579 13.32
Campania 498723 9125 122 1.36 1.83 271 19 3941 451 4.94
Marche 224119 7550 39 0.52 3.37 14 2 520 989 13.10
Puglia 349719 6449 82 1.29 1.84 195 9 1678 570 8.84
P.A. Trento 204287 5501 9 0.16 2.69 9 0 442 405 7.36
Sicilia 400678 5241 61 1.18 1.31 120 17 1793 290 5.53
Friuli Venezia Giulia 360701 4157 45 1.09 1.15 23 2 589 349 8.40
Abruzzo 175854 4015 37 0.93 2.28 41 3 579 472 11.76
P.A. Bolzano 151122 3128 40 1.30 2.07 8 0 296 292 9.34
Sardegna 158080 2874 33 1.16 1.82 80 14 1404 140 4.87
Umbria 176517 2066 24 1.18 1.17 19 4 438 81 3.92
Calabria 175025 1715 14 0.82 0.98 29 3 395 98 5.71
Valle d’Aosta 26489 1260 2 0.16 4.76 3 0 36 146 11.59
Basilicata 63771 613 3 0.49 0.96 5 1 156 28 4.57
Molise 37480 565 3 0.53 1.51 3 1 93 23 4.07

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 64986 279 0.43 5780 0 0 8.89 7611.68 677.00 1 in 131
Ontario 46485 162 0.35 2863 0 0 6.16 3159.70 194.61 1 in 316
Alberta 15415 0 0.00 253 0 0 1.64 3492.97 57.33 1 in 286
British Columbia 6962 0 0.00 213 0 0 3.06 1362.18 41.68 1 in 734
Saskatchewan 1726 17 0.99 24 0 0 1.39 1460.65 20.31 1 in 685
Manitoba 1428 18 1.28 16 0 0 1.12 1036.65 11.62 1 in 965
Nova Scotia 1086 0 0.00 65 0 0 5.99 1111.05 66.50 1 in 900
Newfoundland and Labrador 271 0 0.00 3 0 0 1.11 519.79 5.75 1 in 1924
New Brunswick 193 0 0.00 2 0 0 1.04 247.44 2.56 1 in 4041
Prince Edward Island 55 0 0.00 0 0 NaN 0.00 347.75 0.00 1 in 2876
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4957 100 2.02
Guangdong 1778 8 0.45
Zhejiang 1280 1 0.08
Henan 1277 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Shanghai 947 7 0.74
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 665 3 0.45
Chongqing 584 6 1.03
Fujian 390 1 0.26
Shaanxi 381 3 0.79
Hebei 365 6 1.64
Liaoning 264 2 0.76
Inner Mongolia 261 1 0.38
Guangxi 258 2 0.78
Tianjin 234 3 1.28
Shanxi 203 0 0.00
Yunnan 203 2 0.99
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 19925.35 593.13 1 in 50
India 3550.68 58.69 1 in 282
Brazil 20690.18 628.88 1 in 48
Russia 7328.89 128.15 1 in 136
Peru 22469.13 948.90 1 in 45
Colombia 14597.90 467.17 1 in 69
Mexico 5173.23 548.15 1 in 193
South Africa 11456.15 272.34 1 in 87
Spain 12137.29 637.53 1 in 82
Argentina 12548.84 256.43 1 in 80
Chile 24085.76 661.99 1 in 42
France 6014.23 461.31 1 in 166
Iran 4953.54 285.33 1 in 202
United Kingdom 5582.93 627.89 1 in 179
Bangladesh NA NA 1 in NA
Saudi Arabia 9886.19 129.57 1 in 101
Pakistan 1533.10 32.40 1 in 652
Turkey 3603.04 87.32 1 in 278
Iraq 7585.81 209.41 1 in 132
Italy 4757.82 588.79 1 in 210

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 253985 6208 2.44
Miami-Dade Florida 164086 2880 1.76
Maricopa Arizona 137507 3154 2.29
Cook Illinois 134801 5133 3.81
Harris Texas 116172 2420 2.08
Dallas Texas 75052 1045 1.39
Broward Florida 74434 1280 1.72
Queens New York 71111 7231 10.17
Kings New York 66197 7306 11.04
Clark Nevada 62650 1260 2.01
Riverside California 55073 1103 2.00
Bronx New York 52235 4931 9.44
Orange California 50930 1093 2.15
San Bernardino California 50699 832 1.64
Bexar Texas 49915 1204 2.41
Nassau New York 45711 2199 4.81
Suffolk New York 45683 2008 4.40
Tarrant Texas 44454 661 1.49
Palm Beach Florida 44025 1196 2.72
San Diego California 42679 734 1.72
Hillsborough Florida 39450 586 1.49
Orange Florida 37939 409 1.08
Westchester New York 37531 1452 3.87
Philadelphia Pennsylvania 35094 1770 5.04
Wayne Michigan 33251 2941 8.84
New York New York 32677 3176 9.72
Kern California 30622 326 1.06
Hidalgo Texas 29446 1409 4.79
Shelby Tennessee 28709 427 1.49
Duval Florida 28458 319 1.12
Travis Texas 27701 403 1.45
Prince George’s Maryland 27683 813 2.94
Fresno California 27076 337 1.24
Mecklenburg North Carolina 26868 331 1.23
Fulton Georgia 26225 555 2.12
Middlesex Massachusetts 26182 2105 8.04
Salt Lake Utah 26014 242 0.93
Gwinnett Georgia 25806 375 1.45
Milwaukee Wisconsin 25554 514 2.01
Davidson Tennessee 25184 279 1.11
Hennepin Minnesota 24788 906 3.65
Franklin Ohio 24590 579 2.35
Suffolk Massachusetts 23194 1116 4.81
Pima Arizona 22418 602 2.69
Cameron Texas 21983 843 3.83
Bergen New Jersey 21966 2042 9.30
St. Louis Missouri 21831 768 3.52
El Paso Texas 21621 481 2.22
Montgomery Maryland 21167 834 3.94
Pinellas Florida 20922 701 3.35
King Washington 20863 744 3.57
Essex New Jersey 20657 2123 10.28
Hudson New Jersey 20371 1512 7.42
Sacramento California 20184 350 1.73
Marion Indiana 20065 754 3.76
Alameda California 19991 332 1.66
Nueces Texas 19635 390 1.99
Fairfax Virginia 19601 568 2.90
Santa Clara California 19549 283 1.45
Lee Florida 19488 448 2.30
Fairfield Connecticut 19360 1418 7.32
Oakland Michigan 19348 1184 6.12
San Joaquin California 19108 383 2.00
Middlesex New Jersey 18842 1422 7.55
Essex Massachusetts 18679 1260 6.75
Passaic New Jersey 18661 1249 6.69
Cobb Georgia 18495 413 2.23
Polk Florida 18473 488 2.64
DeKalb Georgia 17536 339 1.93
Providence Rhode Island 17500 0 0.00
Jefferson Alabama 17407 310 1.78
Union New Jersey 17315 1355 7.83
Jefferson Louisiana 17023 559 3.28
Baltimore Maryland 16724 611 3.65
Cuyahoga Ohio 16698 622 3.72
Out of GA Georgia 16599 142 0.86
Wake North Carolina 16318 213 1.31
DuPage Illinois 16022 545 3.40
Stanislaus California 15976 310 1.94
Lake Illinois 15776 481 3.05
Richmond New York 15582 1084 6.96
Fort Bend Texas 15423 267 1.73
Baltimore City Maryland 15254 473 3.10
Contra Costa California 15203 191 1.26
Oklahoma Oklahoma 15178 175 1.15
Tulsa Oklahoma 15146 144 0.95
Charleston South Carolina 15124 253 1.67
Tulare California 15114 247 1.63
Polk Iowa 14697 252 1.71
District of Columbia District of Columbia 14592 616 4.22
East Baton Rouge Louisiana 14588 432 2.96
Rockland New York 14547 674 4.63
Douglas Nebraska 14448 173 1.20
New Haven Connecticut 13961 1110 7.95
Hartford Connecticut 13886 1430 10.30
Worcester Massachusetts 13842 1074 7.76
Jefferson Kentucky 13697 289 2.11
Macomb Michigan 13673 1002 7.33
Richland South Carolina 13638 217 1.59
Greenville South Carolina 13231 281 2.12

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc